Carlo Cenedese, Michele Cucuzzella, Antonella Ferrara, John Lygeros
arXiv 23 May 2022 · eess.SY · 8 citations (OpenAlex)
arXiv:2205.15115 · PDF · DOI · OpenAlex · Extracted main text
In this paper, we propose a novel model that describes how the traffic evolution on a highway stretch is affected by the presence of a service station. The presented model enhances the classical CTM dynamics by adding the dynamics associated with the service stations, where the vehicles may stop before merging back into the mainstream. We name it CTMs. We discuss its flexibility in describing different complex scenarios where multiple stations are characterized by different drivers' average stopping times corresponding to different services. The model has been developed to help design control strategies aimed at decreasing traffic congestion. Thus, we discuss how classical control schemes can interact with the proposed \gls{CTMs}. Finally, we validate the proposed model through numerical simulations and assess the effects of service stations on traffic evolution, which appear to be beneficial, especially for relatively short congested periods.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | A. Ferrara, S. Sacone, and S. Siri, Freeway traffic modelling and co… (2018) | 1.000 | 5 | 3 | 100% |
| 2 | M. Kontorinaki, A. Spiliopoulou, C. Roncoli, and M. Papageorgiou, “F… (2017) First-order traffic flow models incorporating capacity drop: Overview and real-data validation | 0.644 | 2 | 2 | 100% |
| 3 | S. Siri, C. Pasquale, S. Sacone, and A. Ferrara, “Freeway traffic co… (2021) Freeway traffic control: A survey | 0.644 | 2 | 2 | 100% |
| 4 | C. Cenedese, M. Cucuzzella, J. M. A. Scherpen, S. Grammatico, and M.… (2021) Highway Traffic Control via Smart e-Mobility – Part I: Theory | 0.644 | 2 | 2 | 100% |
| 5 | Y. Han, A. Hegyi, Y. Yuan, S. Hoogendoorn, M. Papageorgiou, and C. R… (2017) Resolving freeway jam waves by discrete first-order model-based predictive control of variable speed limits | 0.405 | 1 | 1 | 100% |
| 6 | Z. Ma, D. S. Callaway, and I. A. Hiskens, “Decentralized charging co… (2013) Decentralized charging control of large populations of plug-in electric vehicles | 0.405 | 1 | 1 | 100% |
| 7 | G. Piacentini, M. Cicic, A. Ferrara, and K. Johansson, “Vacs equippe… (2019) Vacs equipped vehicles for congestion dissipation in multi-class ctm framework | 0.405 | 1 | 1 | 100% |
| 8 | M. Barth and K. Boriboonsomsin, “Traffic congestion and greenhouse g… (2009) Traffic congestion and greenhouse gases | 0.405 | 1 | 1 | 100% |
| 9 | K. C. Berridge, “Reward learning: Reinforcement, incentives, and exp… (2000) Reward learning: Reinforcement, incentives, and expectations | 0.405 | 1 | 1 | 100% |
| 10 | C. Cenedese, F. Fabiani, M. Cucuzzella, J. M. A. Scherpen, M. Cao, a… (2019) Charging plug-in electric vehicles as a mixed-integer aggregative game | 0.405 | 1 | 1 | 100% |
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